docs: def _set_scores(self):
          """
          Compute anomaly scores for the time series
          This algorithm just takes the diff of threshold with current value as anomaly score
          """
          anom_scores = {}
          for timestamp, value in self.time_series.items():
              anom_scores[timestamp] = 0.0
              if self.absolute_threshold_value_upper and value > self.absolute_threshold_value_upper:
                  anom_scores[timestamp] = value - self.absolute_threshold_value_upper
              if self.absolute_threshold_value_lower and value < self.absolute_threshold_value_lower:
                  anom_scores[timestamp] = self.absolute_threshold_value_lower - value
          self.anom_scores = TimeSeries(self._denoise_scores(anom_scores))